The Replicator Dynamic, Chain Components and the Response Graph
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Abstract (arXiv)
In this paper we examine the relationship between the flow of the replicator dynamic, the continuum limit of Multiplicative Weights Update, and a game's response graph. We settle an open problem establishing that under the replicator, sink chain components -- a topological notion of long-run outcome of a dynamical system -- always exist and are approximated by the sink connected components of the game's response graph. More specifically, each sink chain component contains a sink connected component of the response graph, as well as all mixed strategy profiles whose support consists of pure profiles in the same connected component, a set we call the content of the connected component. As a corollary, all profiles are chain recurrent in games with strongly connected response graphs. In any two-player game sharing a response graph with a zero-sum game, the sink chain component is unique. In two-player zero-sum and potential games the sink chain components and sink connected components are in a one-to-one correspondence, and we conjecture that this holds in all games.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 10 of its 44 references that are in the map. First posted on arXiv 30 Sep 2022.
Builds on
10 of 44 references.
References · 10
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- 2019Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Gamescited by 24
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- 2021Learning in Matrix Games can be Arbitrarily Complexcited by 11
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- 2022The graph structure of two-player gamescited by 3
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 1.
3 papers.
- 2024Swim till You Sink: Computing the Limit of a Gamecited by 1
- 2023On algorithmically boosting fixed-point computationscited by 0
- 2025Sink equilibria and the attractors of learning in gamescited by 0
- 2025Sink equilibria and the attractors of learning in games11 Feb 2025
- 2024Swim till You Sink: Computing the Limit of a Game20 Aug 2024
- 2023On algorithmically boosting fixed-point computations4 Apr 2023